Cycle Representations of Markov Processes - Stochastic Modelling and Applied Probability 28 (Hardback)
  • Cycle Representations of Markov Processes - Stochastic Modelling and Applied Probability 28 (Hardback)
zoom

Cycle Representations of Markov Processes - Stochastic Modelling and Applied Probability 28 (Hardback)

(author)
£119.99
Hardback 304 Pages / Published: 24/05/2006
  • We can order this

Usually dispatched within 3 weeks

  • This item has been added to your basket
The cycle representations of Markov processes have been advanced after the publication of the ?rst edition to many directions. One main purpose of these advances was the revelation of wide-ranging interpretations of the - cle decompositions of Markov processes such as homologic decompositions, orthogonality equations, Fourier series, semigroup equations, disinteg- tions of measures, and so on, which altogether express a genuine law of real phenomena. The versatility of these interpretations is consequently motivated by the existence of algebraic-topological principles in the fundamentals of the - clerepresentationsofMarkovprocesses,whicheliberatesthestandardview on the Markovian modelling to new intuitive and constructive approaches. For instance, the ruling role of the cycles to partition the ?nite-dimensional distributions of certain Markov processes updates Poincare's spirit to - scribing randomness in terms of the discrete partitions of the dynamical phase state; also, it allows the translation of the famous Minty's painting lemma (1966) in terms of the stochastic entities. Furthermore, the methods based on the cycle formula of Markov p- cesses are often characterized by minimal descriptions on cycles, which widelyexpressaphilosophicalanalogytotheKolmogoroveanentropicc- plexity. For instance, a deeper scrutiny on the induced Markov chains into smallersubsetsofstatesprovidessimplerdescriptionsoncyclesthanonthe stochastic matrices involved in the "taboo probabilities. " Also, the rec- rencecriteriaon cyclesimprovepreviousconditionsbased on thestochastic matrices, and provide plenty of examples.

Publisher: Springer-Verlag New York Inc.
ISBN: 9780387291666
Number of pages: 304
Weight: 1390 g
Dimensions: 235 x 155 x 19 mm
Edition: 2nd ed. 2006


MEDIA REVIEWS

From the reviews of the second edition:

"The first edition of this book [S. Kalpazidou, Cycle representations of Markov processes, Springer, New York, 1995; MR1336140 (96g:60002)] has been reviewed by this reviewer. This second edition amplifies Part I of the first edition, which consisted of 7 chapters, by adding four chapters: Chapter 8. Cycloid Markov processes; Chapter 9. Markov processes on Banach spaces on cycles; Chapter 10. The cycle measures; Chapter 11. Wide-ranging interpretations of the cycle representations of Markov processes. Also, there is a new Section 3.6 devoted to induced circuit chains in Part I, and a new Section 1.4 on Derriennic recurrence criteria in terms of weighted circuits in Part II. Besides, improvements have been introduced at different places (without completely eliminating linguistic slips).

The reviewer is glad that this second edition confirms his expectations concerning the applicability potential of the cycle representation topic. The book under review is indeed mainly motivated by the many applications of cycle representations which occurred in different fields, after the publication of the first edition. " (M. Iosifescu, Mathematical Reviews)

"The main purpose of the second edition ... is to give systematic and unified exposition of stochastic processes of the Markovian type, homogeneous and with either discrete or continuous parameter, which, under an additional assumption concerning the existence of invariant measures, can be defined by directed cycles or circuits. ... The book will be useful for experts in representation theory of Markov processes." (Anatoliy Swishchuk, Zentralblatt MATH, Vol. 1113 (15), 2007)

You may also be interested in...

Chaos
Added to basket
£10.99
Paperback
Advanced Engineering Mathematics
Added to basket
A First Course in Coding Theory
Added to basket
A Mathematician Plays the Market
Added to basket
In All Likelihood
Added to basket
£36.49
Paperback
Mathematics for Economics and Finance
Added to basket
Chaos: A Very Short Introduction
Added to basket
Probability and Random Processes
Added to basket
Mathematics for Economics and Business
Added to basket
Probability
Added to basket
£26.49
Paperback
Mathematical Techniques
Added to basket

Reviews

Please sign in to write a review

Your review has been submitted successfully.